Yulong Fu

2.4k total citations
66 papers, 1.5k citations indexed

About

Yulong Fu is a scholar working on Molecular Biology, Genetics and Nephrology. According to data from OpenAlex, Yulong Fu has authored 66 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 14 papers in Genetics and 9 papers in Nephrology. Recurrent topics in Yulong Fu's work include Renal Diseases and Glomerulopathies (9 papers), Renal and related cancers (7 papers) and Vibrio bacteria research studies (5 papers). Yulong Fu is often cited by papers focused on Renal Diseases and Glomerulopathies (9 papers), Renal and related cancers (7 papers) and Vibrio bacteria research studies (5 papers). Yulong Fu collaborates with scholars based in China, United States and Canada. Yulong Fu's co-authors include Zhe Han, Jun‐yi Zhu, Chaofeng Shen, Adam Richman, Zeyi Liu, Tingting Cai, Yuanyuan Zeng, Jianjie Zhu, Douglas Forrest and Jiahui Fan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Yulong Fu

64 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yulong Fu China 23 772 297 223 182 174 66 1.5k
Jun Suzuki Japan 24 621 0.8× 108 0.4× 312 1.4× 147 0.8× 177 1.0× 107 1.7k
Dan Liang China 19 1.6k 2.1× 377 1.3× 109 0.5× 203 1.1× 138 0.8× 65 2.4k
Adam Platt United Kingdom 25 1.3k 1.7× 286 1.0× 261 1.2× 270 1.5× 32 0.2× 53 2.4k
Annemarie Schmidt Germany 14 629 0.8× 136 0.5× 258 1.2× 232 1.3× 32 0.2× 23 1.4k
Ki-Yong Kim South Korea 15 975 1.3× 165 0.6× 316 1.4× 212 1.2× 60 0.3× 51 1.8k
Jérôme Zoidakis Greece 25 839 1.1× 81 0.3× 270 1.2× 200 1.1× 130 0.7× 88 1.7k
Katrin Neumann Germany 27 1.0k 1.3× 204 0.7× 645 2.9× 230 1.3× 67 0.4× 72 2.3k
Hans E. Johansson Sweden 31 1.7k 2.3× 327 1.1× 161 0.7× 168 0.9× 312 1.8× 72 2.7k
Will M. Lee Hong Kong 40 1.6k 2.1× 583 2.0× 299 1.3× 319 1.8× 31 0.2× 72 4.0k
Yuji Yamazaki Japan 21 1.3k 1.6× 224 0.8× 109 0.5× 268 1.5× 26 0.1× 27 2.4k

Countries citing papers authored by Yulong Fu

Since Specialization
Citations

This map shows the geographic impact of Yulong Fu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yulong Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yulong Fu more than expected).

Fields of papers citing papers by Yulong Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yulong Fu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yulong Fu. The network helps show where Yulong Fu may publish in the future.

Co-authorship network of co-authors of Yulong Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Yulong Fu. A scholar is included among the top collaborators of Yulong Fu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yulong Fu. Yulong Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cai, Xiong, Juan Zhao, Wenjie Lu, et al.. (2024). FGF20 promotes spinal cord injury repair by inhibiting the formation of necrotic corpuscle P‐MLKL/P‐RIP1/P‐RIP3 in neurons. Journal of Cellular and Molecular Medicine. 28(24). e70109–e70109. 1 indexed citations
2.
Xie, Yinan, Qingxu Ma, Lin Zhu, et al.. (2024). Drying-wetting cycle enhances stress resistance of Escherichia coli O157:H7 in a model soil. Environmental Pollution. 350. 123988–123988. 3 indexed citations
3.
Xu, Jiaqi, et al.. (2024). Waste to resource: Mining antimicrobial peptides in sludge from metagenomes using machine learning. Environment International. 186. 108574–108574. 5 indexed citations
4.
Fu, Yulong, Wei Hu, Jing Li, et al.. (2023). Metabolic interventions improve HBV envelope-specific T-cell responses in patients with chronic hepatitis B. Hepatology International. 17(5). 1125–1138. 3 indexed citations
5.
Zhu, Jun‐yi, Jin‐Gu Lee, Yulong Fu, et al.. (2023). APOL1-G2 accelerates nephrocyte cell death by inhibiting the autophagy pathway. Disease Models & Mechanisms. 16(12). 6 indexed citations
6.
Lee, Jin‐Gu, Yulong Fu, Jun‐yi Zhu, et al.. (2023). A SNARE protective pool antagonizes APOL1 renal toxicity in Drosophila nephrocytes. Cell & Bioscience. 13(1). 199–199. 3 indexed citations
7.
8.
Aramaki, Michihiko, Xuefeng Wu, Hong Liu, et al.. (2022). Transcriptional control of cone photoreceptor diversity by a thyroid hormone receptor. Proceedings of the National Academy of Sciences. 119(49). e2209884119–e2209884119. 19 indexed citations
9.
Zhu, Jun‐yi, et al.. (2022). Lpt, trr, and Hcf regulate histone mono- and dimethylation that are essential for Drosophila heart development. Developmental Biology. 490. 53–65. 8 indexed citations
10.
Hu, Xinyi, Yulong Fu, Hongyu Shi, et al.. (2022). Neglected resistance risks: Cooperative resistance of antibiotic resistant bacteria influenced by primary soil components. Journal of Hazardous Materials. 429. 128229–128229. 15 indexed citations
11.
Jia, Yangyang, Xinyi Li, Yulong Fu, et al.. (2022). Single-cell-level microfluidics assisted with resuscitation-promoting factor technology (SMART) to isolate novel biphenyl-degrading bacteria from typical soils in eastern China. Environmental Pollution. 311. 119864–119864. 3 indexed citations
12.
Zhu, Jun‐yi, Nina M. Dräger, Yulong Fu, et al.. (2021). Autophagy inhibition rescues structural and functional defects caused by the loss of mitochondrial chaperone Hsc70-5 in Drosophila. Autophagy. 17(10). 3160–3174. 6 indexed citations
13.
Zhu, Jun‐yi, Xiaohu Huang, Yulong Fu, et al.. (2021). Pharmacological or genetic inhibition of hypoxia signaling attenuates oncogenic RAS-induced cancer phenotypes. Disease Models & Mechanisms. 15(2). 4 indexed citations
14.
Li, Jing, Bo Tu, Ming‐Ju Zhou, et al.. (2021). Reversal of the CD8+ T-Cell Exhaustion Induced by Chronic HIV-1 Infection Through Combined Blockade of the Adenosine and PD-1 Pathways. Frontiers in Immunology. 12. 687296–687296. 23 indexed citations
15.
Fu, Yulong, Yang Zhang, Zhe Lei, et al.. (2020). Abnormally activated OPN/integrin αVβ3/FAK signalling is responsible for EGFR-TKI resistance in EGFR mutant non-small-cell lung cancer. Journal of Hematology & Oncology. 13(1). 169–169. 86 indexed citations
16.
Zhao, Feng, Jun‐yi Zhu, Adam Richman, et al.. (2019). Mutations in NUP160 Are Implicated in Steroid-Resistant Nephrotic Syndrome. Journal of the American Society of Nephrology. 30(5). 840–853. 26 indexed citations
17.
Fu, Yulong, Jun‐yi Zhu, Fujian Zhang, et al.. (2017). Comprehensive functional analysis of Rab GTPases in Drosophila nephrocytes. Cell and Tissue Research. 368(3). 615–627. 26 indexed citations
18.
Chen, Zhimin, Jun‐yi Zhu, Yulong Fu, Adam Richman, & Zhe Han. (2016). Wnt4 is required for ostia development in the Drosophila heart. Developmental Biology. 413(2). 188–198. 12 indexed citations
19.
Fu, Yulong, Ingyu Kim, Liang Zhou, et al.. (2010). Loss of Bicc1 impairs tubulomorphogenesis of cultured IMCD cells by disrupting E-cadherin-based cell-cell adhesion. European Journal of Cell Biology. 89(6). 428–436. 26 indexed citations
20.
Zhao, Na, et al.. (1990). Gene transfer into intact plant cells by electroporation.. Zhiwu xuebao. 32(10). 759–765. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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